activity
20062023
most citedLink Prediction in Complex Networks: A Mutual Information Perspective

140 citations · 354 across the 11 of their papers we have counts for

collaborators

11 papers

cs.SI2023★ 1 cited

Line Graph Neural Networks for Link Weight Prediction

Jinbi Liang, Cunlai Pu, Xiangbo Shu +2

In real-world networks, predicting the weight (strength) of links is as crucial as predicting the existence of the links themselves. Previous studies have primarily used shallow gr…

cs.NI2023★ 1 cited

Epidemic spreading in wireless sensor networks with node sleep scheduling

Yanqing Wu, Cunlai Pu, Gongxuan Zhang +3

Wireless Sensor Networks (WSNs) have become widely used in various fields like environmental monitoring, smart agriculture, and health care. However, their extensive usage also int…

physics.soc-ph2018

Robustness of link prediction under network attacks

Kun Wang, Lunbo Li, Cunlai Pu

While link prediction in networks has been a hot topic over the years, its robustness has not been well discussed in literature. In this paper, we study the robustness of some main…

physics.soc-ph2017

Optimal Resource Allocation with Node and Link Capacity Constraints in Complex Networks

Li Rui, Xia Yongxiang, Tse K Chi

With the tremendous increase of the Internet traffic, achieving the best performance with limited resources is becoming an extremely urgent problem. In order to address this concer…

cs.SI2015

Threshold for the Outbreak of Cascading Failures in Degree-degree Uncorrelated Networks

Junbiao Liu, Xinyu Jin, Lurong Jiang +5

In complex networks, the failure of one or very few nodes may cause cascading failures. When this dynamical process stops in steady state, the size of the giant component formed by…

physics.soc-ph2014★ 55 cited

The robust-yet-fragile nature of interdependent networks

Fei Tan, Yongxiang Xia

Interdependent networks have been shown to be extremely vulnerable based on the percolation model. Parshani et. al further indicated that the more inter-similar networks are, the m…